# In[5]:
import tensorflow
# In[6]:
import tensorflow
# In[ ]:
kinds = [
'boss_cv', 'boss_da+ms', 'boss_db', 'boss_db+ms', 'boss_dq', 'boss_dz',
'fgkm', 'hotstars', 'wd', 'wdsb2', 'yso', 'hotstars_m'
]
flux_cv, spectrum_cv = DP.Preprocessing7('/home/njl/ML/optical/' + kinds[0] +
'/' + '*.fit')
flux_dams, spectrum_dams = DP.Preprocessing7('/home/njl/ML/optical/' +
kinds[1] + '/' + '*.fit')
flux_db, spectrum_db = DP.Preprocessing7('/home/njl/ML/optical/' + kinds[2] +
'/' + '*.fit')
flux_db.pop(324)
spectrum_db.pop(324)
# In[115]:
size = (2, 4096)
X_train = spectrum_cv + spectrum_dams + spectrum_db
X_train = np.stack(X_train)
X_train = X_train.reshape(size[0], len(X_train),
size[1]) #change the shape to NHWC for CAE input
